Software Engineer, GTM

About the role

This is not a role focused on configuring SaaS tools or maintaining existing systems. You will design and build custom solutions from the ground up that directly improve how GTM operates across the full lifecycle.

You will work closely with Engineering, Product, and GTM leadership to identify high-impact problems and turn them into working systems. You will build across our stack, which includes TypeScript, Node.js, Python, React, NoSQL databases, and modern AI tooling, to create internal tools, integrations, and automated workflows. You will partner directly with our Lead Engineer for Special Projects to solve problems and ship quickly.

Areas of Ownership

• Build and own internal systems that power how Parloa’s GTM organization operates end to end, from lead flow through customer expansion
• Translate GTM strategy and business problems into scalable technical solutions, including custom tools, workflows, and system architectures
• Design and develop AI-powered workflows that improve efficiency, decision-making, and execution across the entire GTM motion
• Rapidly prototype new ideas using AI-assisted development, validate impact, and evolve successful solutions into production-grade systems
• Identify bottlenecks, inefficiencies, and manual processes across the GTM lifecycle and replace them with automated, reliable systems
• Build and maintain integrations across core GTM systems using APIs, webhooks, and data pipelines to ensure consistent and accurate data flow
• Own the quality, scalability, and maintainability of the systems you build, balancing speed of execution with long-term reliability
• Partner directly with GTM and company leadership to prioritize, scope, and deliver high-impact initiatives
• Enable GTM teams to operate more independently by building tools that are intuitive, accessible, and well-documented for non-technical users

Who You Are

• Experience building and maintaining high-quality software systems or applications, with the ability to work across the stack and take solutions from prototype to production
• Deep experience with AI-native development workflows, including regular use of tools such as Claude, Cursor, or Codex
• Strong proficiency in TypeScript or JavaScript and Python
• Experience building and integrating systems using APIs, MCP, CLI tools, webhooks, and OAuth
• Able to operate effectively in ambiguous environments, defining problems as well as solving them without detailed specifications
• Strong communication skills with the ability to work closely with non-technical stakeholders and translate technical solutions into business value
• Able to move quickly while maintaining high standards for reliability, scalability, and code quality
• Strong understanding of version control and CI/CD practices, including Git workflows, branching strategies, and automated testing and deployment pipelines such as GitHub Actions

Nice to have

• Experience working with CRM systems, project management tools, or BI platforms in a production environment
• Experience building browser extensions or developer productivity tools
• Active contributions to open-source AI tooling or developer communities
• Experience with containerization technologies such as Docker or Kubernetes for packaging and deployment